Digital Commons Network^™

Bridging Conflicting Sustainable Goals: Ai-Empowered Analysis Of Biodiversity Commitments And Impacts In Renewable Energy Projects, Xinyi Xu, Jin Xue

CIB Conferences

The development of renewable energy projects, while essential for mitigating climate change, poses significant challenges to biodiversity conservation due to habitat loss, fragmentation, and species displacement. Aligning these projects with global sustainability goals, such as SDG 15, requires addressing the often-overlooked gap between biodiversity commitments and actual impacts.

To tackle this challenge, a conceptual framework is proposed in this study that illustrates the relationship between biodiversity commitments and impacts through four hierarchical levels. The framework distinguishes between predicted and actual impacts, as well as compliance-driven and proactive commitments. It incorporates alternative data sources, such as compliance documents, ESG reports, and …

Improving Supply Chain Efficiency Through Traceability Technology Adoption In Residential Construction: A Waste Process Approach, Tim Rose, Tendai Makasi, Stephen Kajewski, Sara Rashidian

CIB Conferences

The construction industry has been increasingly adopting traceability technology to capitalize on various delivery benefits and improve production efficiency. Such benefits include enhanced supply chain management, improved project efficiency, improved sustainability and blockchain integration. Further, construction companies are investing in building product traceability to address growing consumer interest in transparency relating to material provenance and quality and to ensure materials are sourced sustainably and comply with regulations. Despite these benefits, analysis of how traceability technology can improve supply chain efficiency has been limited, particularly in the residential construction sector. Utilizing a case study, this research pilots a new approach in …

Proposed Framework For Llm-Based Feedback In Leed Assignments, Zhenlin Yang, Gabriel Castelblanco, Laura Cruz-Castro, Maryam K. Multani

CIB Conferences

This study investigates the potential of large language models (LLMs) to enhance feedback generation for written assignments, with a focus on Leadership in Energy and Environmental Design (LEED) projects. Through a systematized review of 70 studies, we identify key trends, including a predominance of structured (52.63%) and argumentative inputs (21.05%) and iterative feedback mechanisms (64.91%), which align with LEED’s criteria-driven workflows. However, gaps remain in addressing technical inputs (3.51%) and scalable automated feedback systems tailored to LEED-specific needs. To address these challenges, a conceptual framework is proposed, emphasizing advanced natural language understanding, real-time iterative feedback, and automated validation systems to …

The Evolving Landscape Of Procurement Methods In The Construction Industry: A Literature Review, Iresha D. Jayasinghe, Niluka Domingo Dr, An Le

CIB Conferences

The construction industry has acknowledged that novel procurement methods could improve project deliverables quality, reduce costs, and speed up construction. It is vital to examine the available procurement methods for decision-making regarding the correct procurement method to deliver projects effectively. This study explores the evolving landscape of procurement methods and how these new methods address current challenges and meet industry requirements. For this, a critical review was conducted on the Scopus database. Based on the analysis of 48 pieces of literature out of 1795 articles, trends in procurement and influential factors were identified. The four main procurement methods are traditional, …

Bim And Safety Integration For Steel Erection Using Intermeshed Steel Connections, Tolulope Oyeyipo, Jose Avila, Ibukun Awolusi, Arturo Schultz, Debra Laefer, Salam Al-Sabah

CIB Conferences

The construction industry faces persistent challenges in the aspect of worker safety and health, particularly with the frequently occurring injuries, illnesses, and fatalities caused by falls, struck-by, and ergonomic hazards, among others. The use of steel as a construction material has increased the scale and complexity of projects by introducing more intricate design, production, fabrication, and especially the erection processes which impact the safety and health performance of steelworkers. Studies have shown that steel connection systems, specifically innovative systems such as the intermeshed steel connection (ISC) can play critical roles in moderating the types of hazards steelworkers are exposed to. …

Artificial Intelligence For Early Decision-Making Optimization In The Use Of Modern Methods Of Construction In Housing Projects In Chile, Leonardo Javier Caamaño, Andrés J. Prieto

CIB Conferences

Modern Methods of Construction (MMC) represent a significant opportunity to address the stagnation of productivity in the construction sector, offering advantages such as reduced uncertainty in schedules and costs, minimized waste, and improved sustainability. However, in Chile, the adoption of MMC remains low due to limited information and the lack of early integration in project planning, leading to subjective decision-making. The OptimizIA project, developed by CDT, proposes an artificial intelligence (AI) model to predict and recommend the most suitable MMC solutions based on specific project conditions. This tool supports objective early decision-making in housing projects.

The research involved piloting the …

Predicting And Enhancing Indoor Environmental Quality In Educational Environments: Latest Trends In Ai And Machine Learning Applications, Abdurrahman Baru, Marwan Shagar, Anshi Vajpayee, Jin Lee, Graham J. Moore, Eunhwa Yang

CIB Conferences

Indoor environmental quality (IEQ) affects students' health and academic performance who spend substantial time in school environments. This systematic literature review article explores how Artificial intelligence (AI) and Machine learning (ML) can predict and enhance IEQ within educational environments. A systematic review of 20 articles published between 2021 and 2024 was conducted using the PRISMA method, with all articles retrieved from the Scopus database. This article addresses three key research questions: 1) What IEQ factors are measured in university buildings, and why are they studied? 2) Which IoT sensors are employed in university buildings, and how are their data collected …

The Relationship Between Tenure Type And Domestic Retrofitting Uptake In The Uk, Nadeeshani Wanigarathna Dr, Ephraim Zulu Dr, Matthew Swingwood Mr, Fred Sherratt

CIB Conferences

The housing stock in the UK is a significant contributor to greenhouse gases. To achieve the UK's net-zero targets, a substantial upgrade to the thermal performance of existing dwellings (referred to as retrofitting) will be required. In addition to carbon emission, inefficient homes also present serious health and well-being issues for the occupants. The extent of retrofitting ahead requires significant monetary investment, and the responsibility for such investment ultimately lies with the housing stock owners. In the UK, housing stock can be owned by the occupiers, a private landlord, a local authority or a non-profit social housing association. Their capacity …

Automatic Quantity Takeoff For Irregular Areas Of Architectural, Engineering, And Construction Objects From 2d Drawings, Hang Li, Jiansong Zhang

CIB Conferences

Accurate cost estimation of construction projects relies on precise quantity takeoffs (QTOs), which conventionally has been conducted on 2D drawings, and despite the fast development of Building Information Modeling (BIM), remains a predominant practice. This study focuses on the development of a boundary detection algorithm utilizing computer vision techniques for extracting the shapes of infrastructure elements such as buildings and bridges from 2D PDF drawings. The aim is to enhance information extraction capabilities, particularly for QTOs of complex shapes such as the areas of irregular bridge decks. Utilizing computer vision technologies, the algorithm aims to accurately delineate the boundaries of …

Idenitfying Barriers & Enablers To Improve Whs Outcomes In Australian Small Construction Businesses, Marcus Jefferies A/Prof., Tanvi Newaz Dr, Buddhini Ginigaddara Dr., Temitope Egbelakin Prof., Riza Yosia Sunindijo A/Prof., Liyaning Maggie Tang Dr.

CIB Conferences

Despite its important socio-economic contributions, the Australian construction industry has a poor WHS record. Efforts to improve WHS tend to focus on and be led by, large organisations due to the resources that they have and their ability to capitalise on the economies of scale in their operation. However, it is important to realise that 97% of construction organisations are small businesses, employing fewer than 20 people and their WHS outcomes are worse than the WHS outcomes in large organisations. They are also hard to reach through conventional communication strategies. This indicates that current WHS best practice initiatives are not …

Virtual Reality (Vr)-Based Training In Human-Robot Collaboration: Mediating Role Of Vr Learning Experience, Adetayo Olugbenga Onososen Dr, Musonda Innocent Prof

CIB Conferences

The use of virtual reality for training has been shown to be effective in fostering behaviour change among learners. The widespread evolution in adoption and interest in construction robots has raised the need to train humans to team with robots for safe collaboration on-site. The high cost of construction robots and the need for self-paced, accessible and repetitive learning methods to foster a positive disposition towards human-robot teaming poses a challenge. This study developed a virtual reality-based human-robot collaboration learning framework to promote human-robot teaming in construction applications. The impact of VR learning experience in mediating learners' state of mind, …

Using Blockchain And Digital Land Registries To Enhance Land Management And Tenure, Johnny Mahlangu, Godfrey Taunyane, Basiiraa Moosa, Chioma Okoro

CIB Conferences

In many cases, land tenure and rights are not formally recorded, and land administration systems are inaccessible to rural communities. This research study examined the benefits and attendant challenges of using blockchain and digital land registries for land tenure security and management/administration processes. Secondary research using an integrative review was undertaken with materials identified from Google Scholar. Thematic analysis revealed that the benefits include increased transparency and verifiability, automation, increased efficiency, reduced cost and time, simplified processes, reduced conflicts and better access to credit. The challenges include institutional/political factors, market settings, technical and legal requirements, cyber security risks and data …

A Case Study On The Revitalization Of A Hospital Building : Toward Open Building Of Existing Buildings, Leo Tanishige, Shigeru Aoki

CIB Conferences

Japan's rapidly aging and shrinking population has resulted in an increasing number of hospital facilities that do not meet today's demands. In order to cope with the rapidly changing healthcare environment in Japan, it is adequate to utilize and renovate existing hospital buildings. This study focuses on the “Refining Architecture” method, abbreviated as “RA” in this paper, which is a drastic renovation of existing buildings through seismic retrofitting, legalization, interior and exterior renovation, and plan and design changes. The process and method of investigation and renovation of existing buildings in RA are clarified using the Hospital project W, which was …

Practical Challenges In Assessing Embodied Carbon And Cost Trade-Offs In The Design Phase: Insights From A Residential Building Project, Giulia Scagliotti, Martin Fischer

CIB Conferences

Environmental sustainability has become a core value for many companies in the construction industry. However, while methodologies and tools for carbon accounting are available, design decisions are still primarily driven by cost rather than carbon considerations. One reason for this lies in the timing and availability of data. Cost estimates are collected early and refined throughout the design phase, which supports decision-making. In contrast, carbon data is often unavailable or difficult to gather, rarely updated, and collected late when most design decisions have already been finalized. This misalignment poses practical challenges to effectively integrating carbon and cost assessments into the …

A Novel Approach To Delivering Superabsorbent Polymers For Internal Curing Of Concrete, Chibueze Sylvester Ajuonuma, Raikhan Tokpatayeva, Jan Olek, Kendra A. Erk

CIB Conferences

This study investigates feasibility of incorporating dry superabsorbent polymer (SAP) particles as internal curing agents in concrete utilizing two delivery methods: direct addition of the particles and addition of the particles encapsulated in dissolvable bags. The use of dissolvable bags provides a practical method of storing, handling, and dosing pre-measured amounts of dry SAP particles into cementitious mixtures. Concrete specimens containing SAPs were prepared using both methods, and their properties were evaluated through compressive strength tests at 3, 7, and 28 days, flexural strength tests, ultrasonic pulse velocity (UPV) measurements, and dynamic elastic and shear modulus determinations. Results indicate that …

Computer Vision-Based Yolo11 For Automated Damage Assessment Of Public Building Roofs Supporting Maintenance Management, Alisson Souza Silva, Walisson Santos Oliveira, Pedro Afonso Vieira Fernandes Braga, Luara Lopes De Araujo Fernandes, Dayana Bastos Costa

CIB Conferences

Maintenance Management (MM) of aging buildings is a critical challenge due to complex maintenance operations and limited resources. Digital technologies, such as Unmanned Aerial Systems (UAS), have improved inspection efficiency and accuracy, while Artificial Intelligence (AI) enhances the reliability of automated analysis of UAS data. However, there is a gap in the literature regarding operational methods and systems that effectively integrate these technologies to provide timely, actionable information for decision-making. Moreover, there is a lack of studies integrating multiple damage classes and roof typologies for automated roof inspections across diverse scenarios. Therefore, this study aims to analyze the application of …

Developing A Circular Economy Checklist For Designing Modular Buildings: A Case Study In Sri Lanka, Kaveesha G. Dewagoda, Mohan Kumaraswamy, Ji Chen, S. Thomas Ng, Thilak Jayathunga

CIB Conferences

Climatic change and its impact on humankind is increasingly evident. Being the species that brought about this devastation, our interventions are now needed to proactively and paradigmatically change production and consumption patterns. Circular Economy (CE) is one such sustainability-friendly goal that is gaining traction in the Building Construction Industry (BCI). Given the massive negative impact that BCI has on the environment in terms of resource consumption, carbon emissions and waste generation, design practices must be shifted from object-centric thinking to a systemic & systematic endeavour. Even though Off-Site Construction (OSC) and Design for Manufacturing and Assembly (DfMA) have circular potential …

Measuring Innovation In New Zealand Construction Organisations: Developing A Measurement Tool For New Zealand’S Medium And Large Companies, Hossein Sadeghzadeh Fasaghandis, Suzanne Wilkinson, Mostafa Jelodar

CIB Conferences

New Zealand’s construction industry is the cornerstone of economic development and the labour force but is slow in innovation when compared to other sectors. To minimise this problem, this research developed a comprehensive, multidimensional tool which measures and improves innovation inside medium and large construction companies of New Zealand. The developed tool measures innovation through two main dimensions: Innovation Potential - consisting of categories such as Workforce Skills, Organisational Structure, Business Strategy, Technology, and External Influences - and Business Innovation Score, which measures the actual innovation outputs of the company. A mixed-methods research approach was used for the development, testing, …

The True Environmental Cost Of Data Centers: An Insight Into The Construction Phase Of The Era Of Artificial Intelligence, Juan D. Núñez-Morales, Yoonhwa Jung, Mani Golparvar-Fard

CIB Conferences

In recent years, there has been a significant adoption of commercial applications of Artificial Intelligence (AI). These applications have created a demand for infrastructure that support data storage, mining, and throughput compute power services, commonly known as data centers. This demand, which is projected to substantially increase over the next decade, places data centers to be a major contributor to the construction industry's global carbon emissions. However, with research mostly focusing on minimizing carbon emissions during the operation phase of most buildings, environmental impacts incurred during their construction phase are still deserving a deeper study. To address this gap, this …

A Discussion On Sustainability In Terms Of Building Production And Use For Smart Urbanization, Salih Demirkaya, Harun Tanrivermis, Deniz Besiktepe, Yesim Tanrivermis

CIB Conferences

Technological developments and population growth have caused many effects in the construction sector and triggered developments in the construction of cities. Effects such as energy use, construction conditions, building economy draw attention as a war of technology and naturalness within the framework of the concept of sustainability. Constraints such as the need for building production and capacity increase needed by the population, labor and resource use are effective in decision-making. While technology enables the building sector to produce rapidly, it causes negative effects on the balance of nature. Production factors should be evaluated with a holistic approach and systems that …

Construction Industry Capacity Evaluation: Using Business Intelligence For Data-Driven Insights, Azam Zavvari, Mostafa Babaeian Jelodar, Suzanne Wilkinson, Monty Sutrisna

CIB Conferences

Access to reliable capacity insights is critical for stakeholders in the construction industry, yet planning often suffers from uncertainties and inconsistent data. The goal of this research is to leverage data-driven business intelligence tools to evaluate and optimise the interplay of supply and demand in the construction industry, addressing capacity challenges while providing actionable insights for informed decision-making and strategic planning. This study adopts a mixed-methods approach, combining bibliometric analysis, a literature review, and a case study of Auckland, New Zealand. Using business intelligence tools, the research examines seasonal trends in project initiations and completions, resource inefficiencies, and contractor dependencies. …

Developing A Conceptual Model To Predict Disputes In Construction Projects Using Artificial Intelligence Technologies, Mathusha Francis, Srinath Perera, Wei Zhou, Samudaya Nanayakkara

CIB Conferences

The construction industry is a complex and competitive environment and disputes become more prevalent. The construction disputes negatively effect the cost, time and quality of the project. Further, disputes could result in the abandonment of projects and even the financial collapse of construction companies. Many researchers have attempted to mitigate disputes by addressing the causes of disputes, dispute avoidance techniques, and resolution methods from different perspectives. However, recent literature has evidenced that disputes remain a persistent threat in construction projects. The construction industry is attempting to transform into a technology-driven industry through the adoption of innovative concepts and technologies. In …

Evaluating The Evaluation Matrices: Integrating Spatial Assessment In Geospatial Ai Model Training And Evaluation, Fangzheng Lyu

I-GUIDE Forum

This paper examines the limitations of current evaluation metrics in GeoAI. Through two case studies on deep learning models—a building detection classification problem and a remote sensing image fusion regression problem—this paper demonstrates how traditional statistical evaluation matrices alone can be misleading in geospatial problems. The findings indicate that traditional metrics (e.g., RMSE, MAE) used in current GeoAI models can have difficulty capturing the spatial dimensions inherent to geospatial problems. This paper suggests that the model evaluation process in GeoAI should move beyond traditional evaluation matrices by integrating spatial thinking throughout the modeling pipeline—not only incorporating spatial accuracy in model …

Expanding Access To Cybergis-Compute Through Support For Heterogeneous Workflows, Alexander C. Michels, Ian Zhang, Anand Padmanabhan, John Speaks, Rebecca Vandewalle, Shaowen Wang

I-GUIDE Forum

CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, …

Machine Learning-Based Variance Analysis Of Brightness Temperature In Simulated Satellite Footprints, Chhaya R. Kulkarni, Nikki Prive, Vandana P. Janeja

I-GUIDE Forum

This study investigates the variance in brightness temperature (BT) within simulated satellite footprints for Observing System Simulation Experiments (OSSE), focusing specifically on Channels 5 and 11 of the Advanced Microwave Sounding Unit (AMSU-A). High-resolution atmospheric simulations from the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) dataset were utilized to generate brightness temperature data using the Python interface for the Community Radiative Transfer Model (PyCRTM). A computational design map incorporating Random Forest and Association Rule Mining was employed to identify and validate key atmospheric variables influencing BT variance. This ensemble approach facilitated a deeper understanding of atmospheric …

Comparative Analysis Of Loss Of Control Definitions, Owen D. Poborsky

Journal of Aviation Technology and Engineering

“Loss of control” (LOC) is a broad term in aviation used to describe an event or series of events that resulted in an accident or incident of an aircraft. Many definitions of LOC exist for aircraft while maneuvering on the ground and in the air. The purpose of this study is to synthesize the numerous LOC definitions found in the literature and from government and rulemaking organizations to better understand the importance of airspeed awareness as it relates to LOC events at low altitudes. Furthermore, emphasis shall be placed specifically on flight training within general aviation, as significant LOC statistical …

Book Review Of The Squad By Christina Soontornvat And Joanna Cacao, Simon Boonsripaisal

Journal of Southeast Asian American Education and Advancement

The Squad by Christina Soontornvat and illustrator Joanna Cacao is a follow-up to the indie bestseller The Tryout (2022). The graphic memoir is written for educators, parents, and students in K-12. The illustrations are beautifully drawn, the dialogue is humorous, and the facial expressions describe how the characters are feeling. The main character, Christina, is now an 8^th grader in Texas. Set in the 1990s and the cover page shows her friends lifting her up as she strikes a cheerleading pose. Christina tries out for cheer again, encounter’s identity conflict, and grapples with her parents’ divorce. This review discusses …

Synergizing Stem And Ela: Exploring How Small-Group Interactions Shape Design Decisions In An Engineering Design-Based Unit, Deana Lucas, Emily Haluschak, Christine H. Mcdonnell, Selcen Guzey, Greg J. Strimel, Morgan Hynes, Tamara J. Moore

School of Engineering Technology Faculty Publications

While small group learning through engineering design activities has been shown to enhance student achievement, motivation, and problem-solving skills, much of the existing research in this area focuses on undergraduate engineering education. Therefore, this study examines how small-group interactions influence design decisions within a sixth-grade engineering design-based English Language Arts unit for multilingual learners. Multilingual Learners make up 21% of the U.S. school-aged population and benefit from early STEM opportunities that shape future educational and career trajectories. Grounded in constructivist learning theories, the research explores collaborative learning in the engineering design process, using a comparative case study design. Specifically, this …

Journal Of The Arts And Special Education: Volume 5, Issue 1

Journal of the Arts and Special Education

No abstract provided.

Promising Partnerships In Art Education And Special Education: An Interview With Beverly Gerber, Jennifer Elaine Smith, Yilin Shen

Journal of the Arts and Special Education

Dr. Beverly Gerber is a strong advocate for developing “promising partnerships” between art educators and special educators. She has spent her career working to advocate for increased inclusive opportunities for students with disabilities. From this advocacy, she has written books that have sat atop the National Art Education Association’s best seller’s list. In addition, Dr. Gerber is a co-founding member of the Division of Visual and Performing Arts Education (DARTS) in the council for Exceptional Children. DARTS will celebrate it’s 10^th anniversary in 2025. Dr. Gerber’s work has had a notable impact on the intersection of art and special …